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You are a self-motivated, hunter mindset seller or sales development professional, who has a good understanding of the data & analytics space, as well as business and technology buying personas.
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This includes SQL expertise, knowledge of cloud data warehouses, cloud provider services (AWS, Google, Azure), ETL/ELT tools, data modeling/engineering, data science/machine learning, api consumption, scripting (python preferred), general networking knowledge and cloud SaaS applications (Zendesk, Salesforce, Marketo, etc.
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What You'll Do:Direct sales and opportunity generation: create, qualify, manage, and close sales opportunities for Immuta; direct business development / lead generation activities in order to ramp opportunity pipeline, Partner with Immuta’s reseller channel (recruitment, enablement & training, lead generation / business development, performance planning, goal setting and monitoring)Oversee full sales lifecycle alongside cross-functional teams such as sales engineering, marketing, product, etc.
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At least four (4) years of experience in pre-sales engineering and/or sales in a Systems Integrator, OEM, or similar environment. Advising clients on how to integrate the Six Security Domains: Infrastructure Security, Data & Application Security, Intelligence & Analytics, Threat & Vulnerability Management, Identity and Access Management, and Program Strategy & Operations - throughout their application and data center infrastructures, as well as into their business processes.
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7+ years of practicing attorney experience, with 2+ years at a top-tier law firm in any area and 5+ years in-house at a technology company in commercial/data/IP licensing /sales deals/product counseling (not patent prosecution.
$210,000 - $270,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Reporting to the Head of Internal Audit, you will have broad exposure to the operations of the Company and will interact with leaders across IT, Finance, HR, Operations, Legal , Sales and Engineering as well as our external auditors and advisors.
$140,000 - $160,000 a yearInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data engineering, MLOps and tools such as Docker and Kubernetes. You'll partner with Sales, Support, Product and Engineering teams to own the technical success of the pre-sales evaluation of W&B for our prospective customers, serving as the primary knowledge owner and face to our customers.
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About the Team:The Sift Sales Engineering team comprises creative, technical problem-solvers who partner with prospects to understand their Digital Trust & Safety challenges. As the Director of Sales Engineering, you will play a pivotal role in driving our sales success by leading and managing a high-performing team of Sales Engineers.
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Cyber Security, Data, Analytics, Recruiting, Headhunting, Executive Search, Sales Recruitment, Marketing Recruitment, IT Recruitment , Engineering Recruitment, and FinTech. We help fast-growth tech companies hire the best-performing sales and engineering professionals in the US and Europe.
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You will be a successful applicant if you have a technical degree such as Chemistry, Chemical Engineering, Biology, Mechanical Engineering, Environmental Science, Paper Science, or Water Resources.
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Our latest episode on the Data Engineering Podcast. 5+ years of B2B SaaS sales experience. As a Corporate Sales Manager, you'll lead a team responsible for generating and qualifying leads, driving revenue growth in the mid-market segment, and expanding the customer base.
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Minimum of 3 years of experience in microservice architecture, including experience with containerized hosting (Docker, Kubernetes) and data streaming/messaging platforms (Kafka) Within DE&E Technology, the Ad Platforms team is responsible for creating and scaling innovative global advertising solutions by building mission-critical tools and workflows to support addressable & linear ad sales, traffic, marketing and parts of broadcast operations.
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Collaborate with senior stakeholders across Sales, Finance, and Engineering teams to gather technical and functional requirements. Strong expertise in data stack technologies, including Snowflake, S3, Databricks, Snaplogic, and Tableau.
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As a Customer engineer with a specialization in machine learning, you will be the linchpin bridging sales, customer success, and engineering. Coactive was founded by experts who shaped the fields of high-performance deep learning and data-centric AI. We have the scars from building and working with the first generation of modern machine learning systems at Google, Meta, Pinterest, eBay, Lyft, and other leading organizations.
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As a Product Marketing Manager, you'll collaborate closely with our Marketing, Growth, Partnerships, Product, Data, and Engineering teams to help us define a GTM strategy that helps achieve our ambitious growth goals.
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data engineering sales jobs in San Francisco, CA
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